Fig. 2From: SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertaintyComparing results of SEESAW on polyester simulation with different levels of aggregation to mmdiff and WASP. SEESAW was applied at different levels of resolution including transcript (txp), aggregated-to-TSS (TSS), aggregated-to-gene (gene), and “oracle”, where oracle involved aggregating transcripts by the true AI signal direction, known only in simulation. mmdiff was applied at transcript (mmdiff) and gene level (mmdiff_gene), while WASP provided gene level analysis. A iCOBRA plot of sensitivity (true positive rate, or TPR) over achieved false discovery rate (FDR) with three circles indicating 1%, 5%, and 10% nominal FDR cutoffs, respectively. Filled circles indicate observed FDR less than nominal FDR. B Overall sensitivity for all cases of AI and sensitivity stratified by type of AI: “discordant” AI across isoforms within a gene (AI in different directions) or “concordant” AI within gene (AI in the same direction)Back to article page